SIGMOD
2005
ACM
14 years 11 months ago
2005
ACM
SIGMOD
2005
ACM
14 years 11 months ago
2005
ACM
Data integrated from multiple sources may contain inconsistencies that violate integrity constraints. The constraint repair problem attempts to find "low cost" changes t...
SIGMOD
2005
ACM
14 years 11 months ago
2005
ACM
We present a replication-based approach to fault-tolerant distributed stream processing in the face of node failures, network failures, and network partitions. Our approach aims t...
SIGMOD
2005
ACM
14 years 11 months ago
2005
ACM
We demonstrate the schema and ontology matching tool COMA++. It extends our previous prototype COMA utilizing a composite approach to combine different match algorithms [3]. COMA+...
SIGMOD
2005
ACM
14 years 11 months ago
2005
ACM
Borealis is a distributed stream processing engine that is being developed at Brandeis University, Brown University, and MIT. Borealis inherits core stream processing functionalit...
SIGMOD
2005
ACM
14 years 11 months ago
2005
ACM
We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (rand...
SIGMOD
2005
ACM
14 years 11 months ago
2005
ACM
Research on query optimization has focused almost exclusively on reducing query execution time, while important qualities such as consistency and predictability have largely been ...
SIGMOD
2005
ACM
14 years 11 months ago
2005
ACM
A common problem in many types of databases is retrieving the most similar matches to a query object. Finding those matches in a large database can be too slow to be practical, es...
SIGMOD
2005
ACM
14 years 11 months ago
2005
ACM
The description, composition, and execution of even logically simple scientific workflows are often complicated by the need to deal with "messy" issues like heterogeneou...
SIGMOD
2005
ACM
14 years 11 months ago
2005
ACM
With the advent of Grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute s...